Advanced segmentation of the HORECA sector via artificial intelligence and machine learning
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Document typeBachelor thesis
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UVE Solutions, located in Manresa and Sant Cugat del Vallès, is a company that has been helping for more than a decade, Fast Moving Consumer Goods companies (FMGC) to improve the route that their products do from their production until their sale, what is called Route To Market (RTM). To do this, UVE has created a platform in which these companies receive the necessary information, to fulfil their goals in an analysed and synthesized way. After being an intern in this company for two summers, I have been able to elaborate this project, next to them, in order to incorporate a new way of obtaining information, so that the company could later segment the different points of sale. That is why the main objective of this project is to develop an application that allows users to acquire information from different sources, study, store and end up displaying it to as simply as possible. With this information, this application is able to classify the points of sale that the user wants, and besides, suggest new similar establishments so that the users can expand their list of potential customers. To achieve these goals, different technologies from Google and Microsoft Azure have been used, including image recognition, artificial intelligence and Machine Learning. A Web Crawler has been developed to extract inaccessible information from different web pages, such as Google Maps. Two different APIs have been made in C# language, an Angular web page has been created, and a database, where all the information is stored, has been built. This whole process has been financially supported by the company UVE Solutions, without it would not have been possible to use all these technologies. The use of the information contained in this document is property of UVE Solutions On Demand, S.L.
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